spark-instrumented-optimizer/sql
lvdongr fe07de9566 [SPARK-19673][SQL] "ThriftServer default app name is changed wrong"
## What changes were proposed in this pull request?
In spark 1.x ,the name of ThriftServer is SparkSQL:localHostName. While the ThriftServer default name is changed to the className of HiveThfift2 , which is not appropriate.

## How was this patch tested?
manual tests

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: lvdongr <lv.dongdong@zte.com.cn>

Closes #17010 from lvdongr/ThriftserverName.
2017-02-25 21:47:02 +00:00
..
catalyst [SPARK-19735][SQL] Remove HOLD_DDLTIME from Catalog APIs 2017-02-24 23:03:59 -08:00
core [SPARK-19650] Commands should not trigger a Spark job 2017-02-24 23:05:59 -08:00
hive [SPARK-19735][SQL] Remove HOLD_DDLTIME from Catalog APIs 2017-02-24 23:03:59 -08:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.